A doctorate in in statistics from Osmania University, Venugopala Rao Manneni is an experienced data analyst who has over 20 years of work experience in a diverse areas of verticals such as Pharma, Healthcare, media, telecom,. Prior to Novartis , he has worked with reputed organizations like Venu worked for Juxt-Smart Mandate(Medeva.io) , TNS India (Kantar, WPP) and NFO MBL and served clients across UK, France and Asia Pacific region
Venu’s primary responsibility is to architecting the solutions for the data driven problems using statistical methods, Machine Learning ,deep learning and Generative Algorithms for both structured and unstructured data.
Venu’s expertise lies in understanding of mathematical and statistical theories, experimenting with new technologies and innovative use of theory in the field of analytics.
Venu also has vast experience in statistical software’s such as SPSS, SAS and data processing software like Quantum and Wincross.
Venu holds an Phd & M.Phil from Osmania University, Hyderabad. The focus of his PhD (2012)was on AI& Machine Learning Methods titled “Neural network applications in classification problems” and his MPhil (2008) thesis focused on Multivariate analysis applications in business and research titled “Evolution of business organization using multivariate techniques”. He was the topper in MSc. Statistics Program in 2003 at the University. He was adjudged the best Quantum programmer in the year 2004 in TNS India and has over 10 publications in prestigious national/international journals on Hybrid analytical approaches in data mining and forecasting.
Venu enjoys watching and playing cricket and badminton along with reading about statistics.
Venu is also member of Board of studies as an industry expert for few of autonomous colleges of Osmania University.
